Hive facilitates querying and managing large datasets residing in distributed storage. It is built on top of Hadoop. Hive defines a simple query language called as Hive Query language (HQL) which enables users familiar with SQL to query the data. Hive converts your HQL (Hive Query Language) queries into a series of MapReduce jobs for … Continue reading Configuring Hive on Ubuntu
Tag: Hadoop Ecosystem
Configuring Hadoop on Ubuntu in pseudo-distributed mode
Hadoop is an open-source Apache project that enables processing of extremely large datasets in a distributed computing environment. There are three different modes in which it can be run: 1. Standalone Mode2. Pseudo-Distributed Mode3. Fully-Distributed Mode This post covers setting up of Hadoop 2.5.1 in a Pseudo-distributed mode on an Ubuntu machine. For setting up … Continue reading Configuring Hadoop on Ubuntu in pseudo-distributed mode
Configuring Hadoop on Mac OSx in pseudo-distributed cluster mode.
Hadoop is an open-source Apache project that enables processing of extremely large datasets in a distributed computing environment. There are three different modes in which it can be run: 1. Standalone Mode2. Pseudo-Distributed Mode3. Fully-Distributed Mode This post covers setting up of Hadoop 2.5.1 in a Pseudo-distributed mode. A Pseudo-Distributed mode is one where each … Continue reading Configuring Hadoop on Mac OSx in pseudo-distributed cluster mode.
An Introduction to Zookeeper – Part I of the Zookeeper series
A distributed system consists of multiple computers that communicate through a computer network and interact with each other to achieve a common goal.Major benefits that distributed systems offer over centralized systems is scalability and redundancy. Systems can be easily expanded by adding more machines as needed, and even if one of the machines is unavailable, … Continue reading An Introduction to Zookeeper – Part I of the Zookeeper series
